Rethinking Open-World Video Anomaly Detection: Diagnosing Definition Blindness
Open-world video anomaly detection (OWVAD) aims to localize anomalous events in videos according to a user-specified definition. An OWVAD detector should therefore use the supplied definition to decide what is anomalous. We call this behavior definition following, and its failure definition blindness. However, existing temporal evaluation protocols may obscure this distinction, making strong generic anomaly detection appear to reflect definition following. For example, Drift@5 and the customizable VAD protocol treat both normal frames and anomalies outside the current definition as negatives. Across the three benchmarks used in our study, normal frames account for 78.6%-96.4% of these neg...
| Authors | Inpyo Song, Jangwon Lee |
|---|---|
| Primary category | cs.CV |
| Published | 22 July 2026 |
| Last updated at source | 26 September 2026 |
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